When language breaks into pieces - A conflict between communication through isolated signals and language
When language breaks into pieces - A conflict between communication through isolated signals and language
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DOI：
10.1016/j.biosystems.2005.12.001
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发表时间：
2006-06-01
期刊：
影响因子：
1.6
通讯作者：
Cancho, Ramon Ferrer i
中科院分区：
文献类型：
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作者：
Cancho, Ramon Ferrer i
在这里，我们研究了一个通信模型，其中信号与刺激相关联。该模型假设信号遵循齐普夫定律，该定律的指数取决于最大化信息传输和节省信号使用成本之间的平衡。我们研究的效果，调整信号刺激协会的结构上的平衡。该模型从两个最近的结果开始。首先，指数随着信息传递的权重的增加而增长。第二，当信号-刺激关联的网络几乎连接起来时，就获得了语言的基本形式。在这里，我们展示了一旦临界平衡被打破，语言就会突然毁灭。该模型表明，最大限度地通过孤立的信号和语言的信息传递是冲突的。该模型提出了一个在复杂的通信系统中找不到大指数的强有力的理由：语言处于危险之中。此外，研究结果表明，人类的词汇可能需要模棱两可，以保持语言的活力。有趣的是，该模型预测大的指数应该与突触密度降低有关。最大的指数对应于精神分裂症患者并不奇怪，因为根据Feinberg假说的精神，即突触密度降低可能导致精神分裂症。我们的研究结果表明，指数的齐普夫定律是密切相关的语言，它可以用来检测异常的结构和组织的大脑。(c)2005爱思唯尔爱尔兰有限公司保留所有权利。
Here, we study a communication model where signals associate to stimuli. The model assumes that signals follow Zipf's law and the exponent of the law depends on a balance between maximizing the information transfer and saving the cost of signal use. We study the effect of tuning that balance on the structure of signal-stimulus associations. The model starts from two recent results. First, the exponent grows as the weight of information transfer increases. Second, a rudimentary form of language is obtained when the network of signal-stimulus associations is almost connected. Here, we show the existence of a sudden destruction of language once a critical balance is crossed. The model shows that maximizing the information transfer through isolated signals and language are in conflict. The model proposes a strong reason for not finding large exponents in complex communication systems: language is in danger. Besides, the findings suggest that human words may need to be ambiguous to keep language alive. Interestingly, the model predicts that large exponents should be associated to decreased synaptic density. It is not surprising that the largest exponents correspond to schizophrenic patients since, according to the spirit of Feinberg's hypothesis, i.e. decreased synaptic density may lead to schizophrenia. Our findings suggest that the exponent of Zipf's law is intimately related to language and that it could be used to detect anomalous structure and organization of the brain. (c) 2005 Elsevier Ireland Ltd. All rights reserved.